{"id":554,"date":"2024-09-29T16:41:06","date_gmt":"2024-09-29T13:41:06","guid":{"rendered":"https:\/\/buqnet.com.tr\/?page_id=554"},"modified":"2024-10-20T15:19:09","modified_gmt":"2024-10-20T12:19:09","slug":"buyuk-veri-ve-analitik","status":"publish","type":"page","link":"https:\/\/buqnet.com.tr\/?page_id=554","title":{"rendered":"B\u00fcy\u00fck Veri ve Analitik"},"content":{"rendered":"\n
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\"\"<\/figure>\n<\/figure>\n\n\n\n

\u00d6zellikle mobil ileti\u015fimin ve sens\u00f6r teknolojilerinin hayat\u0131m\u0131za girmesinden sonra d\u00fcnyada \u00fcretilen veri miktar\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde artt\u0131. Bu oran o kadar y\u00fcksek ki her iki senede ge\u00e7ti\u011fimiz t\u00fcm y\u0131llarda \u00fcretilenden daha \u00e7ok veri \u00fcretiliyor. \u00dcretilen bu veriler al\u0131\u015fk\u0131n oldu\u011fumuz verilerden de farkl\u0131lar. Al\u0131\u015fk\u0131n oldu\u011fumuz veriler daha \u00e7ok karakter temelli ve i\u00e7indeki bilginin ne oldu\u011fu tan\u0131mlanm\u0131\u015f (yap\u0131sal) iken yeni veri tipleri daha \u00e7ok g\u00f6r\u00fcnt\u00fc, ses i\u00e7erikli ve tan\u0131ml\u0131 (yap\u0131sal) de\u011filler. Yeni tip veriler tipleri d\u0131\u015f\u0131nda, \u00e7ok b\u00fcy\u00fck miktarda olmalar\u0131 ve \u00e7ok y\u00fcksek h\u0131zda \u00fcretilmeleri gibi \u00f6zellikleri ile de al\u0131\u015fk\u0131n oldu\u011fumuz verilerden ayr\u0131l\u0131yorlar.<\/p>\n\n\n\n

Di\u011fer yandan bu veriler \u00e7ok \u00f6nemli. \u00dcretildikleri yerler a\u00e7\u0131s\u0131ndan ya bir sistem ile ilgili bilgileri i\u00e7eriyorlar. Ya da bir insan ile bu verileri i\u015fleyebilmek, kendi i\u015fimiz a\u00e7\u0131s\u0131ndan yararl\u0131 hale getirebilmek bizi rakiplerimizin \u00f6n\u00fcne ge\u00e7irebilecek \u00f6nemli bir ara\u00e7.<\/p>\n\n\n\n

B\u00fcy\u00fck Veri<\/strong><\/p>\n\n\n\n

Mevcut sistemlerimiz ile bu verileri i\u015flemek ise olanakl\u0131 de\u011fil, bu y\u00fczden yeni tip bu verileri i\u015flemek, farkl\u0131 veriler aras\u0131ndan i\u015fimize yarayacak \u00f6r\u00fcnt\u00fcleri, e\u011filimleri belirlemek amac\u0131 ile yeni teknolojiler geli\u015ftirildi. Bu i\u015f i\u00e7in geli\u015ftirilen teknolojilerin t\u00fcm\u00fcne birden b\u00fcy\u00fck veri ad\u0131 veriliyor.<\/p>\n\n\n\n

B\u00fcy\u00fck Veri teknolojisinin temelinde farkl\u0131 kaynaklardan gelen b\u00fct\u00fcn verileri tek bir yerde toplamay\u0131 ama\u00e7layan Hadoop teknolojisi yer almakta. Bu verileri Hadoop i\u00e7ine almak i\u00e7in gerekli olan ara\u00e7lar\u0131n yan\u0131 s\u0131ra, ald\u0131ktan sonra i\u015flemek, analiz etmek ve anlamland\u0131rmak i\u00e7in gereken ara\u00e7lar da b\u00fcy\u00fck verinin bir par\u00e7as\u0131.<\/p>\n\n\n\n

B\u00fcy\u00fck verinin getirdi\u011fi \u00f6nemli bir yenilik de \u00fczerinde i\u015flem yapaca\u011f\u0131n\u0131z verilerin sizin taraf\u0131n\u0131zdan \u00fcretilmi\u015f olmas\u0131n\u0131n gerekli olmamas\u0131. Do\u011fal olarak kendi i\u015finiz ile ilgili \u00fcretmi\u015f oldu\u011funuz verilerden faydalanacaks\u0131n\u0131z ancak buna ek olarak di\u011fer kaynaklardan (sosyal medya, GPS gibi) veri alman\u0131z ve t\u00fcm bu verileri kar\u015f\u0131la\u015ft\u0131rarak kendiniz\/i\u015finiz i\u00e7in yararl\u0131 hale getirmeniz ama\u00e7lan\u0131yor.<\/p>\n\n\n\n

Sa\u011fl\u0131k Sekt\u00f6r\u00fc<\/strong><\/p>\n\n\n\n

Sa\u011fl\u0131k sekt\u00f6r\u00fcnde \u00f6zellikle farkl\u0131 hastalar\u0131n bilgilerinin kar\u015f\u0131la\u015ft\u0131r\u0131lmas\u0131 ile hangi tip hastalar\u0131n hangi tedavilere olumlu yan\u0131t verdiklerinin belirlenmesi, olumsuz cevap veren hastalarda ba\u015fka tip tedavilerin denenerek hem zaman kazan\u0131lmas\u0131 hem de tedavi \u015fans\u0131n\u0131n artt\u0131r\u0131lmas\u0131. Mevsim ge\u00e7i\u015fleri, hava ko\u015fullar\u0131 gibi ektenler ile olu\u015facak mevsim hastal\u0131klar\u0131, kaza gibi durumlar\u0131n \u00f6nceden tahmin edilerek hem bu durum i\u00e7in haz\u0131rl\u0131k yap\u0131lmas\u0131 hem de zaman\u0131nda uyar\u0131lar ile etkilerinin azalt\u0131lmas\u0131.<\/p>\n\n\n\n

Sigortac\u0131l\u0131k Finans<\/strong><\/p>\n\n\n\n

Sigorta firmalar\u0131 m\u00fc\u015fterileri hakk\u0131nda ne kadar \u00e7ok bilgi sahibi olurlarsa onlara uygun \u00e7\u00f6z\u00fcmler \u00fcretmeleri o kadar kolay olmaktad\u0131r. M\u00fc\u015fterilerinin risklerini do\u011fru analiz edebilmek hem firma a\u00e7\u0131s\u0131ndan hem de m\u00fc\u015fterileri a\u00e7\u0131s\u0131ndan en uygun \u00e7\u00f6z\u00fcm\u00fcn sunulmas\u0131nda en \u00f6nemli etkendir. B\u00fcy\u00fck veri ile her m\u00fc\u015fterinin riskleri ayr\u0131 ayr\u0131 analiz edilebilmekte, en uygun \u00e7\u00f6z\u00fcmler sunulabilmektedir. Finans sekt\u00f6r\u00fcnde durum farkl\u0131 de\u011fildir. M\u00fc\u015fterilerine do\u011fru zamanda do\u011fru \u00fcr\u00fcnlerle eri\u015febilmeleri i\u00e7in finans kurumlar\u0131n\u0131n hem m\u00fc\u015fterilerini i\u015flerini iyi bilmeleri hem de bu bilgilerini ekonominin genel durumu, kendi kurumlar\u0131n\u0131n hedefleri ile birle\u015ftirmeleri gerekmektedir. Bu ancak b\u00fcy\u00fck veri uygulamalar\u0131 ile sa\u011flanabilecek ve devam ettirilebilecek bir durumdur.<\/p>\n\n\n\n

Sonu\u00e7<\/p>\n\n\n\n

\u201cB\u00fcy\u00fck Veri\u201d \u00e7\u00f6z\u00fcmleri her firma i\u00e7in \u00f6zel olarak, firman\u0131n sekt\u00f6r\u00fcne, hedeflerine ve imkanlar\u0131na g\u00f6re haz\u0131rlanmaktad\u0131r. Destek A.\u015e, \u015firketinizi rekabette bir ad\u0131m \u00f6ne \u00e7\u0131karacak \u00e7\u00f6z\u00fcmler sunmak i\u00e7in birlikte \u00e7al\u0131\u015fmay\u0131 ama\u00e7lamaktad\u0131r.<\/p>\n\n\n\n

\u00dcretim Sekt\u00f6r\u00fc<\/strong><\/p>\n\n\n\n

Al\u0131c\u0131lardan gelen verilerin i\u015flenmesi ile koruyucu bak\u0131m s\u00fcre\u00e7lerinde yap\u0131lan iyile\u015ftirmeler, ar\u0131za olmadan erken uyar\u0131lar\u0131 de\u011ferlendirerek i\u015f ve para kayb\u0131n\u0131n \u00f6nlenmesi, daha iyi talep tahmini yapabilmek, buna ba\u011fl\u0131 olarak hammadde ve \u00fcretim s\u00fcre\u00e7lerinin daha verimli planlanabilmesi.<\/p>\n\n\n\n

B\u00fcy\u00fck Veri ve Analitik (Big Data and Analytics)<\/strong>, devasa boyuttaki verilerin toplanmas\u0131, i\u015flenmesi ve analiz edilmesi s\u00fcrecini ifade eder. B\u00fcy\u00fck veri, genellikle geleneksel veri i\u015fleme y\u00f6ntemleriyle y\u00f6netilemeyecek kadar b\u00fcy\u00fck, karma\u015f\u0131k ve \u00e7e\u015fitli veri setlerinden olu\u015fur. Bu verilerden anlaml\u0131 bilgiler \u00e7\u0131kar\u0131lmas\u0131, i\u015f stratejilerini y\u00f6nlendirmek, karar verme s\u00fcre\u00e7lerini iyile\u015ftirmek ve yenilik\u00e7i \u00e7\u00f6z\u00fcmler geli\u015ftirmek i\u00e7in kullan\u0131l\u0131r.<\/p>\n\n\n\n

B\u00fcy\u00fck Veri Nedir?<\/h3>\n\n\n\n

B\u00fcy\u00fck veri, genellikle 4V<\/strong> kavram\u0131yla tan\u0131mlan\u0131r:<\/p>\n\n\n\n

    \n
  1. Hacim (Volume)<\/strong>: B\u00fcy\u00fck veriler, \u00e7ok b\u00fcy\u00fck boyutlarda olabilir. \u00d6zellikle dijital d\u00fcnyada her g\u00fcn milyarlarca veri olu\u015fturuluyor. Bu, petabaytlarca veri anlam\u0131na gelebilir. Verinin b\u00fcy\u00fckl\u00fc\u011f\u00fc, depolama ve i\u015fleme i\u00e7in \u00f6zel \u00e7\u00f6z\u00fcmler gerektirir.<\/li>\n\n\n\n
  2. \u00c7e\u015fitlilik (Variety)<\/strong>: B\u00fcy\u00fck veri, yap\u0131land\u0131r\u0131lm\u0131\u015f (\u00f6rne\u011fin veritabanlar\u0131), yap\u0131land\u0131r\u0131lmam\u0131\u015f (\u00f6rne\u011fin sosyal medya g\u00f6nderileri, videolar) ve yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f (\u00f6rne\u011fin e-postalar, XML dosyalar\u0131) veri t\u00fcrlerini kapsar. Bu, verilerin farkl\u0131 kaynaklardan ve farkl\u0131 formatlarda toplan\u0131p i\u015flenmesini gerektirir.<\/li>\n\n\n\n
  3. H\u0131z (Velocity)<\/strong>: B\u00fcy\u00fck veri genellikle \u00e7ok h\u0131zl\u0131 bir \u015fekilde \u00fcretilir ve i\u015flenir. Ger\u00e7ek zamanl\u0131 veya yak\u0131n ger\u00e7ek zamanl\u0131 analiz gerektiren veriler bu kategoriye girer. \u00d6rne\u011fin, sosyal medya etkile\u015fimleri anl\u0131k olarak analiz edilmek istenebilir.<\/li>\n\n\n\n
  4. Do\u011fruluk (Veracity)<\/strong>: B\u00fcy\u00fck veri, zaman zaman g\u00fcvenilmez ya da eksik olabilir. Bu verilerin do\u011frulu\u011fu, anlaml\u0131 bilgiler elde etmek i\u00e7in kritik \u00f6neme sahiptir. Yan\u0131lt\u0131c\u0131 veya eksik veriler, yanl\u0131\u015f sonu\u00e7lara yol a\u00e7abilir.<\/li>\n<\/ol>\n\n\n\n

    Baz\u0131 kaynaklar, bu 4V\u2019ye De\u011fer (Value)<\/strong> ve De\u011fi\u015fkenlik (Variability)<\/strong> gibi ek \u00f6zellikler de eklemektedir. De\u011fer, verilerin i\u015flenip analiz edildikten sonra i\u015f stratejilerine katk\u0131da bulunma potansiyelini ifade eder.<\/p>\n\n\n\n

    B\u00fcy\u00fck Veri Kaynaklar\u0131<\/h3>\n\n\n\n
      \n
    • Sosyal Medya<\/strong>: Facebook, Twitter, Instagram gibi platformlar arac\u0131l\u0131\u011f\u0131yla milyonlarca kullan\u0131c\u0131 her g\u00fcn b\u00fcy\u00fck miktarda veri \u00fcretir. Kullan\u0131c\u0131 davran\u0131\u015flar\u0131, be\u011feniler, yorumlar ve payla\u015f\u0131mlar analiz edilerek m\u00fc\u015fteri e\u011filimleri hakk\u0131nda bilgi edinilebilir.<\/li>\n\n\n\n
    • \u0130nternet Trafi\u011fi<\/strong>: Web sitelerinin ziyaret\u00e7i verileri, kullan\u0131c\u0131 etkile\u015fimleri, t\u0131klama davran\u0131\u015flar\u0131 ve arama motoru sonu\u00e7lar\u0131 b\u00fcy\u00fck veri analizleri i\u00e7in \u00f6nemli bir kaynakt\u0131r.<\/li>\n\n\n\n
    • Makine ve Sens\u00f6r Verileri (IoT)<\/strong>: Nesnelerin interneti (IoT) cihazlar\u0131, makineler ve sens\u00f6rler b\u00fcy\u00fck miktarda veri \u00fcretir. Bu veriler, end\u00fcstriyel sistemlerin optimizasyonu, ak\u0131ll\u0131 \u015fehir \u00e7\u00f6z\u00fcmleri ve sa\u011fl\u0131k sekt\u00f6r\u00fcnde hasta takibi gibi alanlarda kullan\u0131l\u0131r.<\/li>\n\n\n\n
    • Finansal \u0130\u015flemler<\/strong>: Bankalar, kredi kart\u0131 i\u015flemleri, borsa verileri ve di\u011fer finansal hareketler b\u00fcy\u00fck veri analizleri i\u00e7in \u00f6nemli veri kaynaklar\u0131d\u0131r. Finansal doland\u0131r\u0131c\u0131l\u0131k tespiti, yat\u0131r\u0131m stratejileri ve risk analizi gibi konularda kullan\u0131l\u0131r.<\/li>\n\n\n\n
    • Mobil Cihazlar<\/strong>: Ak\u0131ll\u0131 telefonlar ve mobil uygulamalar, kullan\u0131c\u0131lar\u0131n konum verileri, uygulama kullan\u0131mlar\u0131 ve \u00e7evrimi\u00e7i aktiviteleri hakk\u0131nda b\u00fcy\u00fck miktarda veri \u00fcretir.<\/li>\n<\/ul>\n\n\n\n

      B\u00fcy\u00fck Veri Analiti\u011fi<\/h3>\n\n\n\n

      B\u00fcy\u00fck veri analiti\u011fi, b\u00fcy\u00fck veri setlerinden anlaml\u0131 bilgiler \u00e7\u0131karmak i\u00e7in kullan\u0131lan y\u00f6ntem ve teknikleri i\u00e7erir. Bu analizler, ham veriyi de\u011ferli bilgilere d\u00f6n\u00fc\u015ft\u00fcrerek i\u015fletmelerin daha iyi kararlar almas\u0131n\u0131 sa\u011flar.<\/p>\n\n\n\n

      1. Tan\u0131mlay\u0131c\u0131 Analitik (Descriptive Analytics)<\/strong>:<\/h4>\n\n\n\n
        \n
      • Ge\u00e7mi\u015f verileri analiz ederek \u201cNe oldu?\u201d sorusuna cevap arar. \u00d6rne\u011fin, sat\u0131\u015f raporlar\u0131 ya da m\u00fc\u015fteri davran\u0131\u015flar\u0131na dair \u00f6zetler sa\u011flar. Bu analiz t\u00fcr\u00fc, verilerden \u00f6zet bilgi elde ederek genel e\u011filimleri ve kal\u0131plar\u0131 anlamay\u0131 ama\u00e7lar.<\/li>\n<\/ul>\n\n\n\n

        2. Te\u015fhis Edici Analitik (Diagnostic Analytics)<\/strong>:<\/h4>\n\n\n\n
          \n
        • Tan\u0131mlay\u0131c\u0131 analizdeki sonu\u00e7lar\u0131n neden meydana geldi\u011fini analiz eder. \u201cNeden oldu?\u201d sorusunu cevaplar ve olas\u0131 neden-sonu\u00e7 ili\u015fkilerini ortaya \u00e7\u0131kar\u0131r.<\/li>\n<\/ul>\n\n\n\n

          3. Tahmine Dayal\u0131 Analitik (Predictive Analytics)<\/strong>:<\/h4>\n\n\n\n
            \n
          • Ge\u00e7mi\u015f verilere dayanarak gelecekteki olaylar\u0131 tahmin etmeye \u00e7al\u0131\u015f\u0131r. \u00d6rne\u011fin, m\u00fc\u015fteri davran\u0131\u015flar\u0131n\u0131n gelecekte nas\u0131l de\u011fi\u015fece\u011fini tahmin eder. Makine \u00f6\u011frenimi algoritmalar\u0131 s\u0131k\u00e7a kullan\u0131l\u0131r.<\/li>\n<\/ul>\n\n\n\n

            4. \u00d6nerici Analitik (Prescriptive Analytics)<\/strong>:<\/h4>\n\n\n\n
              \n
            • Gelecekte al\u0131nmas\u0131 gereken en iyi kararlar\u0131 \u00f6nerir. Bu analiz t\u00fcr\u00fc, karar verme s\u00fcrecine y\u00f6nelik somut \u00f6nerilerde bulunarak i\u015fletmelerin stratejilerini optimize etmeye yard\u0131mc\u0131 olur. Optimizasyon algoritmalar\u0131 ve sim\u00fclasyonlar kullan\u0131l\u0131r.<\/li>\n<\/ul>\n\n\n\n

              B\u00fcy\u00fck Veri Teknolojileri ve Ara\u00e7lar\u0131<\/h3>\n\n\n\n
                \n
              1. Hadoop<\/strong>:\n
                  \n
                • A\u00e7\u0131k kaynakl\u0131 bir yaz\u0131l\u0131m \u00e7er\u00e7evesi olan Hadoop, b\u00fcy\u00fck veri setlerinin da\u011f\u0131t\u0131k olarak i\u015flenmesini sa\u011flar. Veriler, birden fazla makineye da\u011f\u0131t\u0131l\u0131r ve paralel i\u015fleme ile analiz edilir.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                • Apache Spark<\/strong>:\n
                    \n
                  • Hadoop\u2019a alternatif olarak, b\u00fcy\u00fck veriyi daha h\u0131zl\u0131 i\u015fleyebilen bir da\u011f\u0131t\u0131k i\u015flem platformudur. \u00d6zellikle bellek i\u00e7i hesaplama yetenekleri sayesinde ger\u00e7ek zamanl\u0131 analizlerde tercih edilir.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                  • NoSQL Veritabanlar\u0131<\/strong>:\n
                      \n
                    • Geleneksel veritabanlar\u0131ndan farkl\u0131 olarak b\u00fcy\u00fck, \u00e7e\u015fitli ve yap\u0131land\u0131r\u0131lmam\u0131\u015f verilerin saklanmas\u0131n\u0131 sa\u011flar. MongoDB, Cassandra ve Couchbase gibi veritabanlar\u0131 b\u00fcy\u00fck veri uygulamalar\u0131nda yayg\u0131nd\u0131r.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                    • Makine \u00d6\u011frenimi<\/strong>:\n
                        \n
                      • B\u00fcy\u00fck veri analiti\u011fi, makine \u00f6\u011frenimi algoritmalar\u0131ndan yo\u011fun olarak faydalan\u0131r. Bu algoritmalar, verilerden \u00f6\u011frenerek otomatik tahminler yapabilir ve b\u00fcy\u00fck veri i\u00e7indeki kal\u0131plar\u0131 tan\u0131yabilir.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                      • Data Lakes<\/strong>:\n
                          \n
                        • Yap\u0131land\u0131r\u0131lmam\u0131\u015f veya yar\u0131 yap\u0131land\u0131r\u0131lm\u0131\u015f verilerin saklanabilece\u011fi devasa veri depolar\u0131d\u0131r. Data lake’ler, daha sonra i\u015flenmek \u00fczere b\u00fcy\u00fck miktarda veriyi toplar.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                        • Veri G\u00f6rselle\u015ftirme<\/strong>:\n
                            \n
                          • B\u00fcy\u00fck veri analizlerinin sonu\u00e7lar\u0131, Tableau, Power BI ve D3.js gibi veri g\u00f6rselle\u015ftirme ara\u00e7lar\u0131 kullan\u0131larak grafiksel olarak sunulur. Bu, karma\u015f\u0131k verilerin daha anla\u015f\u0131l\u0131r hale getirilmesine yard\u0131mc\u0131 olur.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n

                            B\u00fcy\u00fck Veri Kullan\u0131m Alanlar\u0131<\/h3>\n\n\n\n
                              \n
                            1. M\u00fc\u015fteri Analiti\u011fi<\/strong>:\n
                                \n
                              • M\u00fc\u015fteri davran\u0131\u015flar\u0131n\u0131 anlamak ve ki\u015fiselle\u015ftirilmi\u015f hizmetler sunmak i\u00e7in kullan\u0131l\u0131r. \u00d6rne\u011fin, e-ticaret siteleri b\u00fcy\u00fck veri analiti\u011fi ile m\u00fc\u015fteri tercihlerini analiz eder ve \u00f6nerilerde bulunur.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                              • Sa\u011fl\u0131k Sekt\u00f6r\u00fc<\/strong>:\n
                                  \n
                                • Hasta verilerini analiz ederek ki\u015fiselle\u015ftirilmi\u015f tedavi \u00f6nerileri sunar ve hastal\u0131klar\u0131n erken te\u015fhisinde yard\u0131mc\u0131 olur. B\u00fcy\u00fck veri ayr\u0131ca ila\u00e7 geli\u015ftirme s\u00fcre\u00e7lerinde de kullan\u0131l\u0131r.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                                • Finans<\/strong>:\n
                                    \n
                                  • Finansal doland\u0131r\u0131c\u0131l\u0131klar\u0131 tespit etme, yat\u0131r\u0131m stratejileri geli\u015ftirme ve risk y\u00f6netimi i\u00e7in kullan\u0131l\u0131r. Bankalar ve sigorta \u015firketleri, b\u00fcy\u00fck veriden faydalanarak daha g\u00fcvenli ve karl\u0131 kararlar alabilir.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                                  • End\u00fcstriyel \u0130malat<\/strong>:\n
                                      \n
                                    • \u00dcretim s\u00fcre\u00e7lerinde verimlili\u011fi art\u0131rmak i\u00e7in makine ve sens\u00f6r verilerini analiz eder. IoT ile entegrasyon, b\u00fcy\u00fck veriyi kullanarak ak\u0131ll\u0131 \u00fcretim ve bak\u0131m s\u00fcre\u00e7lerini optimize etmeye yard\u0131mc\u0131 olur.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
                                    • Perakende<\/strong>:\n
                                        \n
                                      • Stok y\u00f6netimi, sat\u0131\u015f analizleri ve m\u00fc\u015fteri deneyimini iyile\u015ftirmek i\u00e7in kullan\u0131l\u0131r. Perakendeciler, sat\u0131\u015f e\u011filimlerine dayal\u0131 olarak talep tahminlerinde bulunabilir ve envanterlerini optimize edebilirler.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n

                                        B\u00fcy\u00fck Veri ve Analiti\u011fin Gelece\u011fi<\/h3>\n\n\n\n

                                        B\u00fcy\u00fck veri analiti\u011fi, yapay zeka, makine \u00f6\u011frenimi ve otomasyonun birle\u015fimi ile gelecekte daha da geli\u015fecektir. Nesnelerin interneti (IoT)<\/strong> cihazlar\u0131n\u0131n \u00e7o\u011falmas\u0131yla veri miktar\u0131 katlanarak artacak ve bu verilerin anlamland\u0131r\u0131lmas\u0131 i\u015f d\u00fcnyas\u0131nda devrim yaratacakt\u0131r. Ayr\u0131ca, gizlilik ve g\u00fcvenlik<\/strong> konular\u0131 da b\u00fcy\u00fck verinin y\u00f6netiminde \u00f6nemli bir rol oynayacakt\u0131r. \u00d6zellikle veri gizlili\u011fi ile ilgili reg\u00fclasyonlar\u0131n (\u00f6rne\u011fin GDPR) artmas\u0131, b\u00fcy\u00fck verinin y\u00f6netilmesi ve analiz edilmesi s\u00fcre\u00e7lerini daha da karma\u015f\u0131k hale getirebilir.<\/p>\n\n\n\n

                                        B\u00fcy\u00fck veri, modern i\u015f d\u00fcnyas\u0131nda rekabet avantaj\u0131 sa\u011flamak i\u00e7in kritik bir kaynak haline gelmi\u015ftir. Do\u011fru analizler ve stratejik yakla\u015f\u0131mlarla b\u00fcy\u00fck veri, i\u015fletmelerin gelece\u011fi \u015fekillendirmelerine yard\u0131mc\u0131 olacakt\u0131r.<\/p>\n\n\n\n

                                        <\/p>\n","protected":false},"excerpt":{"rendered":"

                                        \u00d6zellikle mobil ileti\u015fimin ve sens\u00f6r teknolojilerinin hayat\u0131m\u0131za girmesinden sonra d\u00fcnyada \u00fcretilen veri miktar\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde artt\u0131. Bu oran o kadar y\u00fcksek ki her iki senede ge\u00e7ti\u011fimiz t\u00fcm y\u0131llarda \u00fcretilenden daha \u00e7ok veri \u00fcretiliyor. \u00dcretilen bu veriler al\u0131\u015fk\u0131n oldu\u011fumuz verilerden de farkl\u0131lar. Al\u0131\u015fk\u0131n oldu\u011fumuz veriler daha \u00e7ok karakter temelli ve i\u00e7indeki bilginin ne oldu\u011fu tan\u0131mlanm\u0131\u015f (yap\u0131sal) […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-554","page","type-page","status-publish","hentry"],"yoast_head":"\nB\u00fcy\u00fck Veri ve Analitik - 7\/24 Buqnet Bilgisayar Yaz\u0131l\u0131m ve Donan\u0131m Hizmetleri<\/title>\n<meta name=\"description\" content=\"IT Destek Hizmetleri, Bilgisayar Dan\u0131\u015fmanl\u0131k, Kurumsal Bak\u0131m Anla\u015fmas\u0131, Bili\u015fim Dan\u0131\u015fmanl\u0131k Hizmetleri, Bilgisayar Servisi, Server Hizmet\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/buqnet.com.tr\/?page_id=554\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"B\u00fcy\u00fck Veri ve Analitik - 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